Deep feature learning with relative distance comparison for person re-identification S Ding, L Lin, G Wang, H Chao Pattern Recognition 48 (10), 2993-3003, 2015 | 795 | 2015 |
Block-wisely supervised neural architecture search with knowledge distillation C Li, J Peng, L Yuan, G Wang, X Liang, L Lin, X Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 220 | 2020 |
Eagleeye: Fast sub-net evaluation for efficient neural network pruning B Li, B Wu, J Su, G Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 213 | 2020 |
Distance metric optimization driven convolutional neural network for age invariant face recognition Y Li, G Wang, L Nie, Q Wang, W Tan Pattern Recognition 75, 51-62, 2018 | 199 | 2018 |
Few-shot learning: A survey Y Wang, Q Yao, J Kwok, L Ni arXiv preprint arXiv:1904.05046 1, 2019 | 187 | 2019 |
Cross-domain visual matching via generalized similarity measure and feature learning L Lin, G Wang, W Zuo, X Feng, L Zhang IEEE transactions on pattern analysis and machine intelligence 39 (6), 1089-1102, 2016 | 173 | 2016 |
Dynamic slimmable network C Li, G Wang, B Wang, X Liang, Z Li, X Chang Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2021 | 152 | 2021 |
Bossnas: Exploring hybrid cnn-transformers with block-wisely self-supervised neural architecture search C Li, T Tang, G Wang, J Peng, B Wang, X Liang, X Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 120 | 2021 |
Deep dual learning for semantic image segmentation P Luo, G Wang, L Lin, X Wang Proceedings of the IEEE international conference on computer vision, 2718-2726, 2017 | 112 | 2017 |
Transferable, controllable, and inconspicuous adversarial attacks on person re-identification with deep mis-ranking H Wang, G Wang, Y Li, D Zhang, L Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 95 | 2020 |
Smoothing adversarial domain attack and p-memory reconsolidation for cross-domain person re-identification G Wang, JH Lai, W Liang, G Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 80 | 2020 |
Solving inefficiency of self-supervised representation learning G Wang, K Wang, G Wang, PHS Torr, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 66 | 2021 |
Adaptively connected neural networks G Wang, K Wang, L Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 65 | 2019 |
Learning object interactions and descriptions for semantic image segmentation G Wang, P Luo, L Lin, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 62 | 2017 |
Weakly supervised person re-id: Differentiable graphical learning and a new benchmark G Wang, G Wang, X Zhang, J Lai, Z Yu, L Lin IEEE Transactions on Neural Networks and Learning Systems 32 (5), 2142-2156, 2020 | 47 | 2020 |
DS-Net++: Dynamic weight slicing for efficient inference in CNNs and vision transformers C Li, G Wang, B Wang, X Liang, Z Li, X Chang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4430-4446, 2022 | 41 | 2022 |
Viewco: Discovering text-supervised segmentation masks via multi-view semantic consistency P Ren, C Li, H Xu, Y Zhu, G Wang, J Liu, X Chang, X Liang International Conference on Learning Representations (ICLR 2023), 2023 | 40 | 2023 |
Deep structured scene parsing by learning with image descriptions L Lin, G Wang, R Zhang, R Zhang, X Liang, W Zuo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 40 | 2016 |
DARI: Distance Metric and Representation Integration for Person Verification G Wang, L Lin, S Ding, Y Li, Q Wang Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 37 | 2016 |
Automated progressive learning for efficient training of vision transformers C Li, B Zhuang, G Wang, X Liang, X Chang, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |